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Updated on 2025-03-04

SQL Regular Expression Error "parenteses not balanced" Problem Troubleshooting and Solution

Preface

In actual development, database queries often require the use of regular expressions (REGEXP) to filter data under complex conditions. However, some developers may encounter errors like the following in their operations:

### Cause: : Got error 'parentheses not balanced' from regexp
; bad SQL grammar []; nested exception is : Got error 'parentheses not balanced' from regexp

This problem is often related to SQL syntax, especially in statements that use regular expressions, where brackets are not closed correctly. This article will analyze the causes, troubleshooting steps and solutions of this error in detail to help everyone quickly locate and fix similar problems.

1. The root cause of the error

As can be seen from the error message, the core problem isparentheses not balanced(brackets do not match). This indicates that the regular expressions used in SQL statements contain syntax problems, which may be the following:

1. The brackets are not correctly matched

The brackets in regular expressions are used for grouping and matching. If there are missing open brackets,(Or closed brackets)The situation of   will lead to a bracket mismatch error.

Example error:

SELECT * FROM users WHERE name REGEXP '(John|Jane';

In the above expression,(A grouping started, but no match), causing SQL execution error.

2. Special characters are not escaped correctly

In regular expressions, brackets(), brackets[], curly braces{}etc characters have special meanings. If used as normal characters and are not escaped correctly, it may lead to confusion in parentheses matching.

Example error:

SELECT * FROM logs WHERE message REGEXP '[0-9(a-z]';

Regular expression[0-9(a-z]middle,[A character class match was started, but the nesting of brackets and character ranges was not closed, causing a syntax error.

3. Regular expression complexity exceeds the database support range

Different databases (such as MySQL and PostgreSQL) support regular expressions differently. Certain complex expressions (such as nested groupings) may exceed the parsing capabilities of the database engine, resulting in bracket matching errors.

Example error:

SELECT * FROM table_name WHERE column_name REGEXP '((abc)|(def)';

The nested groupings in this expression may not be resolved properly in some database versions.

2. Error check steps

When encountering such errors in actual development, you can follow the following steps to check them step by step:

1. Check the regular expression of SQL statements

  • Confirm whether the brackets in the regular expression are balanced.
  • Check if there are any missing(or), and whether there are unnecessary nesting.

Example:

-- Wrong regular expression
SELECT * FROM products WHERE description REGEXP '(new|used';

After correction:

-- Correct regular expressions
SELECT * FROM products WHERE description REGEXP '(new|used)';

2. Test the validity of regular expressions

  • Verify that the expression meets expectations in an independent regular testing tool (such as regex101).
  • Confirm whether the syntax of brackets and other symbols complies with the regular expression rules of the target database.

3. Check dynamic SQL stitching

If the SQL statement is generated dynamically through code, print out the final generated SQL to ensure that the expression is not truncated in the code logic.

Example (Dynamic Stitching SQL in Java):

String regex = "(John|Jane"; // Wrong regular expressionString sql = "SELECT * FROM users WHERE name REGEXP '" + regex + "'";
(sql); // Print the final SQL and confirm the syntax error

3. Solution

In view of the above possible causes of errors, the following solutions are proposed:

1. Correct the syntax of regular expressions

Make sure brackets or other separators are paired correctly.

mistake:

SELECT * FROM employees WHERE title REGEXP '(Manager|Engineer';

Fixed:

SELECT * FROM employees WHERE title REGEXP '(Manager|Engineer)';

2. Escape special characters

If you need to match ordinary brackets in regular expressions()Or other special characters, escape characters are required\

Example:

-- mistake:Unescaped brackets,导致语法mistake
SELECT * FROM logs WHERE message REGEXP '(error|log(';

 -- Fixed: Handle brackets as normal characters
 SELECT * FROM logs WHERE message REGEXP '\\(error|log\\(';

Note: In some programming languages, such as Java, double escape is required.\\(Only by correctly passing it to SQL.

3. Simplify complex regular expressions

If the regular expression is too complex and exceeds the database's parsing ability, you can try to split the query conditions or use simpler expressions.

mistake:

SELECT * FROM orders WHERE order_code REGEXP '((A123)|(B456)';

Fixed:

-- Split into multiple simple conditions
SELECT * FROM orders WHERE order_code REGEXP 'A123' OR order_code REGEXP 'B456';

4. Adjust the database version

Some older versions of databases have incomplete support for regular expressions, so you can consider upgrading to a version that supports a wider range of regular syntax.

4. Best Practices

To avoid similar errors, the following best practices can be followed in development:

1. Develop debugging habits

Print and test statements before a complex SQL query is executed. The final SQL output can be viewed through logs or debugging tools.

2. Verify regular expressions using online tools

Verify that the regular expression is as expected and make sure the syntax is correct through regular testing websites (such as regex101 or RegExr).

3. Write unit tests

Write unit tests for dynamically generated SQL to ensure that expressions generate correct statements under different conditions.

Example:

@Test
public void testSqlGeneration() {
    String regex = "(abc|def)";
    String expectedSql = "SELECT * FROM table_name WHERE column_name REGEXP '(abc|def)'";
    assertEquals(expectedSql, generateSql(regex));
}

4. Read the database document

Each database has different support for regular expressions. It is recommended to read the official documentation of the target database to understand the functions and limitations of regular expression support.

5. Summary

Regular expressions are powerful tools in SQL for handling complex queries, but they are also a common source of errors. Through the explanation of this article, we learnedparentheses not balancedCauses, troubleshooting methods and solutions for errors. To summarize, the following points should be noted:

  1. Always check the regular expression syntax to make sure the brackets match.
  2. Correctly escape special characters.
  3. Simplify complex expressions and avoid exceeding database support capabilities.
  4. Print and verify dynamically generated SQL statements to ensure no syntax errors.

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